Building on Ben Bernanke’s widely used recession probability model, we invented a better model using exactly the same ...

As a qualitative researcher, Ruth Abrams, a senior lecturer at the University of Surrey, doesn’t usually share her data. “It feels like a private moment between the researcher and the participant,” ...

Abstract: The recent emergence of time-series forecasting foundation models allows for prediction of any time series without the need of extra training. To select the best foundation model, ...

The vast majority of asset management companies today use model portfolios. One question we’ve been asked many times is whether ValuEngine stock ratings can be used for portfolio management or merely ...

In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...

ABSTRACT: With the development of the Industrial Internet of Things (IIoT) and cloud computing technologies, intelligent sensors in the field that can generate large volumes of time-series data ...